應用地形分析、遙測影像判釋與PIV技術於紅菜坪地滑特徵及其分區之研究

Translated title of the contribution: Landslide characterization and zonation of Hungtsaiping area based on topography, image of remote sensing and PIV technology

Chia-Ming Lo*, Ming Lang Lin, Jia Jyun Dong, Kuang Tsung Chang, Shih Yao Chien, An Bin Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The area of Hungtsaiping Landslide covers hundreds of hectares. The sliding mechanisms are so complicated that makes the landslide control engineering difficult to carry out. In this study, we analyze the topographic and morphological changes, image of remote sensing and surface displacements comprehensively by the particle image velocimetry technology (PIV) for detailed landslide evolution, zonation with topographic maps of seven different periods (1904, 1934, 1977, 1984, 1991, 1998 and 1999) and aerial photographs of six different periods (1962, 1998, 1999, 2001, 2002 and 2004). From the results, we can differentiate Hungtsaiping Landslide area into A, B, C and D zone. Zones A, B and C locate at the central part of the landslide were classified as deep-seated landslides in the old colluvium, which had higher susceptibility for future activities. Zone D locates at the east of the landslide which were caused mainly by the river bank erosion and evaluated with a lower susceptibility for activities. Besides, the source area of cliff collapsed backward with numerous talus of rockfall deposits at their toe in different periods which should be listed for the further observation.

Translated title of the contributionLandslide characterization and zonation of Hungtsaiping area based on topography, image of remote sensing and PIV technology
Original languageChinese (Traditional)
Pages (from-to)113-128
Number of pages16
JournalJournal of the Chinese Institute of Civil and Hydraulic Engineering
Volume21
Issue number2
DOIs
StatePublished - Jun 2009

Keywords

  • Hungtsaiping landslide
  • Image of remote sensing
  • PIV
  • Topographic

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